@inproceedings{42dd61010ea74f73bf820c63729ec80a,
title = "Distributed filtering based on randomized gossip strategy",
abstract = "This paper formulates and studies the problem of distributed filtering based on randomized gossip strategy in order to estimate the state of a dynamic system via all sensors in a network. First we introduce the randomized gossip algorithm by which the fastest averaging strategy can be obtained for a network with an arbitrary topology. Then we combine the randomized gossip algorithm with the information filter to design a randomized gossip based distributed filtering algorithm. The proposed method can adopt different communication volume flexibly, which results in different estimation performance. This flexibility distinguishes our method from the existing ones. Simulation examples verify that our method outperforms the diffusion strategy based distributed filtering algorithm if a small increase of communication requirements is allowed.",
keywords = "Dynamic system, Estimation fusion, Randomized gossip, Sensor networks",
author = "Liangyu Jiang and Chao Wan and Yongxin Gao and Zhansheng Duan",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2017 ; Conference date: 16-11-2017 Through 18-11-2017",
year = "2017",
month = dec,
day = "7",
doi = "10.1109/MFI.2017.8170446",
language = "英语",
series = "IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "306--311",
booktitle = "MFI 2017 - 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems",
}